arecon-tables-figures
GitHub为ARE综述构建总结性图表，包括‘谁发现什么’表格、概念框架图和元证据展示。旨在跨文献综合发现，而非生成原始回归结果。强调比较同类对象、携带不确定性说明及来源可追溯，确保非专业读者也能理解领域结构。
Trigger Scenarios
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill arecon-tables-figures -g -y
SKILL.md
Frontmatter
{
"name": "arecon-tables-figures",
"description": "Use when building exhibits for an Annual Review of Economics (ARE) review — summary \"who-found-what\" tables, the conceptual\/framework figure, and meta-evidence exhibits that synthesize across studies. Designs review exhibits; it does not produce original-estimate regression tables (an ARE review reports no new estimates of its own)."
}
Tables & Figures for a Review (arecon-tables-figures)
When to trigger
- The synthesis is done and an adjacent-field reader needs to see the field at a glance
- A controversy or a body of estimates would be clearer as a table than as prose
- The organizing framework would land better as a diagram
- You are tempted to paste a regression table — but this is a review, not a primary paper
The three exhibit types an ARE review actually uses
ARE exhibits summarize across the literature; they do not present the author's own estimation. The workhorses:
| Exhibit | Purpose | Design notes |
|---|---|---|
| Who-found-what summary table | one row per study (or per design class): question/estimand, method, sample, finding (direction + magnitude), credibility note | rows ordered by the framework's cells, not chronology; columns let the reader compare comparable objects |
| Conceptual / framework figure | render the organizing spine — taxonomy tree, mechanism diagram, the simple unifying model | this is often the review's signature exhibit; it should be restate-able from memory by a non-specialist |
| Meta-evidence exhibit | a forest-style plot, a timeline of methods, a coverage map | use only when the estimates are commensurable; otherwise it manufactures false consensus |
Building a credible summary table
- Compare like with like. Group studies that estimate the same object; never put non-comparable estimands in one magnitude column (the cross-study pooling error from
arecon-evidence-standards). - Carry uncertainty and credibility. A finding column without a credibility/identification note invites the question "but how good is that study?" — answer it in the table.
- Self-contained captions. An ARE exhibit is read on its own by an outsider; the caption states what the table shows, the unit, how to read a row, and the source studies.
- Source every cell. Each entry traces to a paper in the evidence matrix; an unsourced number in a review of record is indefensible.
The conceptual figure is ARE's signature
Because the readership is cross-field, the framework figure carries disproportionate weight: it is what an adjacent economist remembers and reuses. Invest in one diagram that renders the spine cleanly — a taxonomy tree, a mechanism flow, or the simple model — so a reader who recalls nothing else can reconstruct the field's structure from it. Annual Reviews production supports full-color figures; design for legibility in the published two-column format and confirm current figure specs on the author pages (检索于 2026-06；以官网为准).
Meta-analysis caution
If you assemble effect sizes into a quantitative synthesis (forest plot, meta-regression), you are doing a meta-analysis, with its assumptions — comparable estimands, publication-bias diagnostics, weighting. Do this only where the literature genuinely supports it; otherwise a qualitative who-found-what table is more honest than a spurious pooled number. ARE readers include the methodologists who would catch invalid pooling. If you do run a meta-analysis, its data/code should be reproducible (see arecon-submission).
Reproduced vs. re-drawn figures
When a figure from a reviewed paper is central, prefer a re-drawn synthesis figure (your own panel placing several studies on common axes) over copying one paper's exhibit — it serves the review's argument and avoids consensus-by-accident. If you reproduce an original figure, attribute it and secure any permission Annual Reviews requires (检索于 2026-06；以官网为准).
Checklist
- Each exhibit synthesizes across studies (no original-estimate regression output)
- Summary-table rows ordered by framework cells; only comparable estimands share a column
- Finding columns carry a credibility/identification note, not bare point estimates
- The conceptual figure renders the spine and is restate-able from memory by a non-specialist
- Any meta-evidence plot pools only commensurable estimates; bias diagnostics noted
- Captions are self-contained (what / unit / how to read a row / sources)
- Every cell sources to a paper in the evidence matrix
- Figure specs / permissions confirmed against current Annual Reviews author pages (volatile)
Anti-patterns
- Pasting a regression table of the author's own new estimates — a review reports no new results
- A who-found-what table that pools incomparable estimands into one magnitude column
- A forest plot implying a pooled consensus the literature does not support
- Finding columns with no credibility note (every reader then asks "is that study any good?")
- A decorative figure that does not encode the framework — wasting the review's signature exhibit
- Exhibits whose captions require the body text to be intelligible (fails the cross-field reader)
Output format
【Exhibit set】<list: summary tables / conceptual figure / meta-evidence>
【Summary table】rows by framework cell; comparable estimands only? Y/N
【Credibility column】present for every finding? Y/N
【Conceptual figure】renders the spine; restate-able from memory? Y/N
【Meta-evidence】pools only commensurable estimates (or omitted)? Y/N
【Sourcing】every cell traces to the evidence matrix? Y/N
【Specs/permissions】confirmed on Annual Reviews author pages? Y/N · 待核实
【Next step】→ arecon-writing-style (weave exhibits into the synthesis prose)
Version History
- 1839142 Current 2026-07-05 12:24
